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Google Associate Data Practitioner Exam - Topic 3 Question 21 Discussion

Actual exam question for Google's Associate Data Practitioner exam
Question #: 21
Topic #: 3
[All Associate Data Practitioner Questions]

Your retail company collects customer data from various sources:

You are designing a data pipeline to extract this dat

a. Which Google Cloud storage system(s) should you select for further analysis and ML model training?

Show Suggested Answer Hide Answer
Suggested Answer: B

Online transactions: Storing the transactional data in BigQuery is ideal because BigQuery is a serverless data warehouse optimized for querying and analyzing structured data at scale. It supports SQL queries and is suitable for structured transactional data.

Customer feedback: Storing customer feedback in Cloud Storage is appropriate as it allows you to store unstructured text files reliably and at a low cost. Cloud Storage also integrates well with data processing and ML tools for further analysis.

Social media activity: Storing real-time social media activity in BigQuery is optimal because BigQuery supports streaming inserts, enabling real-time ingestion and analysis of data. This allows immediate analysis and integration into dashboards or ML pipelines.


Contribute your Thoughts:

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Ruth
2 days ago
Definitely agree, BigQuery is great for large datasets!
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Tayna
7 days ago
I think option B makes the most sense for analysis.
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Sylvie
12 days ago
I feel like Cloud SQL could work for online transactions, but I’m not confident if it’s the right choice compared to BigQuery.
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Gerald
17 days ago
I practiced a similar question where we had to choose between Cloud SQL and BigQuery for transaction data. I think BigQuery might be more efficient.
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Laurene
22 days ago
I'm not sure if Cloud Storage is the best choice for customer feedback; I think it might be better suited for structured data.
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Julio
27 days ago
I remember we discussed how BigQuery is great for analyzing large datasets, especially for online transactions.
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